Stance and Credibility Based Trust in Social-Sensor Cloud Services

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11234)


We propose a users’ stance and credibility based social-sensor cloud service trust model. We represent social media data streams, i.e., image meta-data and related posted information, as social-sensor cloud services. We use the textual features of the social-sensor cloud services, i.e., comments, and meta-data, e.g., spatio-temporal information, to gather the trust-rate of the services and the credibility of users’ comments. The analytical results present the performance of the proposed model.


Social-sensor Social-sensor cloud service Trust in social-sensor cloud service 



This research was partly made possible by NPRP 9-224-1-049 grant from the Qatar National Research Fund (a member of The Qatar Foundation) and DP1501 00149 and LE180100158 grants from Australian Research Council. The statements made herein are solely the responsibility of the authors.


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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.School of ScienceRMIT UniversityMelbourneAustralia
  2. 2.School of Information TechnologiesThe University of SydneySydneyAustralia

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